This is the Windows app named Polymarket Data whose latest release can be downloaded as poly_datasourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Polymarket Data with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Polymarket Data
DESCRIPTION
Polymarket Data is a comprehensive data engineering pipeline designed to collect, process, and structure trading activity from the Polymarket prediction market ecosystem into analyzable datasets. The system operates as a multi-stage pipeline that integrates data from both off-chain APIs and on-chain event sources, enabling users to reconstruct full trading activity including markets, order events, and executed trades. It begins by fetching market metadata such as questions, outcomes, and trading volumes, then proceeds to scrape order-filled events from a GraphQL-based subgraph, and finally transforms these raw events into structured trade-level records with calculated prices and directions. One of its key strengths is its ability to run incrementally and resume operations automatically, making it suitable for long-running data collection without duplication or data loss.
Features
- Multi-stage pipeline for markets, events, and trade processing
- Incremental updates with automatic resume from checkpoints
- Integration of API data and on-chain event data sources
- Automatic discovery of missing or newly created markets
- Structured trade generation with pricing and direction logic
- Robust error handling with retries and rate limit management
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/polymarket-data.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.